Security audit of usail-hkust/LLM-MM-Agent · AI Tool by usail-hkust · ★ 699
Yes — LLM-MM-Agent passed AgentSkillsHub's rule-based security scan with no dangerous patterns detected. As with any third-party skill, confirm what credentials it requests before production use.
What it is: 🔥🔥🔥 [NeurIPS2025] MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem
No dangerous patterns were detected: no credential exfiltration, no obfuscated downloads, no sandbox-escape attempts, no prompt-injection markers.
| Security grade | ✓ SAFE |
| Quality score | 60/100 |
| GitHub stars | 699 |
| Language | Python |
| License | GPL-3.0 |
| Last updated |
This is AgentSkillsHub's free basic audit: an automated rule-based scan with 42 published rules built on SlowMist's agent-security taxonomy (credential theft, obfuscated payloads, privilege escalation, covert instructions to the agent, and more) across 186,000+ open-source AI agent skills and MCP servers, refreshed every 8 hours. A SAFE grade is a scan result, not a guarantee — deep 5-dimension audits (code · credentials · vendor · supply-chain · operational) are available for enterprise. Audited: .